WO2009143620A1 - Method and device for the detection of microsleep events - Google Patents
Method and device for the detection of microsleep events Download PDFInfo
- Publication number
- WO2009143620A1 WO2009143620A1 PCT/CA2009/000732 CA2009000732W WO2009143620A1 WO 2009143620 A1 WO2009143620 A1 WO 2009143620A1 CA 2009000732 W CA2009000732 W CA 2009000732W WO 2009143620 A1 WO2009143620 A1 WO 2009143620A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- eye
- microsleep
- eye openness
- factors
- openness
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 113
- 238000001514 detection method Methods 0.000 title claims abstract description 28
- 210000000744 eyelid Anatomy 0.000 claims abstract description 35
- 230000004399 eye closure Effects 0.000 claims abstract description 30
- 230000008569 process Effects 0.000 claims description 24
- 230000001815 facial effect Effects 0.000 claims description 14
- 238000005070 sampling Methods 0.000 claims description 10
- 230000003247 decreasing effect Effects 0.000 claims description 5
- 230000006870 function Effects 0.000 claims description 5
- 230000002596 correlated effect Effects 0.000 abstract 1
- 206010041349 Somnolence Diseases 0.000 description 11
- 208000032140 Sleepiness Diseases 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 230000037321 sleepiness Effects 0.000 description 5
- 238000005259 measurement Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000000193 eyeblink Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000000750 progressive effect Effects 0.000 description 2
- 230000035807 sensation Effects 0.000 description 2
- 208000007590 Disorders of Excessive Somnolence Diseases 0.000 description 1
- 241000282412 Homo Species 0.000 description 1
- 208000019914 Mental Fatigue Diseases 0.000 description 1
- 206010062519 Poor quality sleep Diseases 0.000 description 1
- 208000010340 Sleep Deprivation Diseases 0.000 description 1
- 230000036626 alertness Effects 0.000 description 1
- 230000003542 behavioural effect Effects 0.000 description 1
- 230000004397 blinking Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 230000006378 damage Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000034994 death Effects 0.000 description 1
- 231100000517 death Toxicity 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 206010016256 fatigue Diseases 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 206010020765 hypersomnia Diseases 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 201000003631 narcolepsy Diseases 0.000 description 1
- 230000003449 preventive effect Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 230000033764 rhythmic process Effects 0.000 description 1
- 201000002859 sleep apnea Diseases 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 230000002618 waking effect Effects 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1103—Detecting eye twinkling
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/163—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state by tracking eye movement, gaze, or pupil change
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/18—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state for vehicle drivers or machine operators
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4809—Sleep detection, i.e. determining whether a subject is asleep or not
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
- B60K28/00—Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions
- B60K28/02—Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions responsive to conditions relating to the driver
- B60K28/06—Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions responsive to conditions relating to the driver responsive to incapacity of driver
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
- B60K28/00—Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions
- B60K28/02—Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions responsive to conditions relating to the driver
- B60K28/06—Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions responsive to conditions relating to the driver responsive to incapacity of driver
- B60K28/066—Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions responsive to conditions relating to the driver responsive to incapacity of driver actuating a signalling device
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/20—Workers
- A61B2503/22—Motor vehicles operators, e.g. drivers, pilots, captains
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/398—Electrooculography [EOG], e.g. detecting nystagmus; Electroretinography [ERG]
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
- A61B5/6814—Head
- A61B5/6821—Eye
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M2021/0005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus
- A61M2021/0083—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus especially for waking up
Definitions
- the present invention concerns a method and device for the detection of microsleep events.
- Microsleep events are a useful indicator of sleep onset.
- a microsleep event often occurs as a result of sleep deprivation, or mental fatigue, sleep apnea, narcolepsy, or hypersomnia.
- microsleep There are standardized methods for monitoring microsleep, which include: monitoring the electroencephalogram (EEG) and electrooculogram (EOG), video, test of performance, and the like. Of all these methods, the EEG is considered the most reliable for measuring sleepiness.
- EEG and EOG require the use of electrodes, which are attached to the subject, thereby making these methods inappropriate to routinely monitor any operators conducting fatigue prone tasks, such as, for example, vehicle drivers.
- the other methods are impractical because they are both difficult to set-up and because they require intensive data analysis by humans thereby making data treatment difficult to automate.
- microsleep episodes can be identified.
- microsleep according to behavioral criteria (eyelids closure), while others rely on electroencephalogram markers such as a 3-15 second episode (shorter durations would be difficult to visually detect and longer times would qualify as sleep onset.) during which 4-7 Hz (theta wave) activity replaced the waking 14-20 Hz (alpha wave) background rhythm.
- Microsleep subjectively related to the sensation of "nodding off', is associated with the interruption of the blinking artifacts characteristic of full wakefulness.
- attention lapses can impair the ability to detect and respond to crucial stimuli and events.
- microsleeps or microsleep episodes
- microsleeps can become extremely dangerous when occurring during situations which require continual alertness, such as driving a motor vehicle or operating machinery.
- People who experience microsleeps usually remain unaware of them, instead believing themselves to have been awake the whole time, or feeling a sensation of 'spacing out'.
- the sleepy driver is at very high risk of having an accident during a microsleep episode. Many accidents have occurred because of microsleep episodes.
- microsleep events would be useful as a means of alerting and warning drowsy drivers of such events.
- EEG waves Theta power (EEG waves), and the frequency of theta bursts typically increase during prolonged driving, and are associated with poor driving performance. Disadvantageously, these techniques typically average EEG activity over several seconds (up to 1 minute), and therefore could not be used to detect brief microsleep events of between 3 seconds and 15 seconds.
- PERCLOS or PERcent CLOSure
- PERCLOS measures drowsiness as the percent of time a driver's eyes are closed over a time period.
- PERCLOS works at percentages greater than 80%, which typically means that within 1 minute, the eyes of the individual must be closed for 48 seconds before an alarm is triggered.
- this delay in unacceptable in tasks such as driving a vehicle because by the time PERCLOS activates the alarm, the driver will already have either fallen asleep, or be on the verge of falling asleep. Therefore, disadvantageously PERCLOS is too slow a system to allow preventive actions to be taken before an individual, such as a driver, experiences the first signs of sleepiness.
- EOG records which are made to exclude potential artifacts during EEG records, also show that normal eye blinks often continue during microsleep events, indicating that the eyes are at least partially open.
- microsleep events can be easily and readily detected by measuring the closing and opening patterns of the eyelids over time using a microsleep detection process, converting the raw data collected from the measurements into graphs and comparing the graphs to those of stored, standardized microsleep patterns.
- a method of detecting a microsleep event in a subject comprising: - determining a plurality of eye openness factors by measuring a plurality of distances between an upper eyelid and a lower eyelid of at least one eye over a time period; - generating graphical representations of the eye openness factors; and - correlating changes in the eye openness factors over the time period with a reference eye closure pattern indicative of the microsleep event.
- the method further comprising: illuminating the face of the subject; and recording a facial image.
- a digital camera having an infra-red source is used to illuminate the face and to record the facial image.
- the method as described above, further comprising: identifying the eye and the eyelids by using a facial feature recognition algorithm.
- the method further comprising: verifying the presence of microsleep characteristic eye openness factor levels by measuring the eye openness factors as a function of time for a blink cycle of the eye.
- the eye openness factors levels include at least one eye openness level.
- the eye openness factors include one or more eye openness levels and five or less eye openness levels.
- the eye openness factors include five eye openness levels.
- the eye openness levels are associated with an open eye, the closure of the eyelids, partial or closed eye, and opening of the eyelids.
- the eye openness factors include five successive eye openness levels, the sequential detection of the five levels being indicative of microsleep characteristics.
- the method further comprising: determining additional eye openness factors if less than five successive eye openness factor levels are detected.
- the method further comprising: computing eye opening and eye closure representative curves.
- the eye closure representative curves are computed using a negative slope and a second order polynomial regression applied to the eye openness factors of the first and second eye openness factor levels.
- the eye opening factors are computed using a positive slope and a second order polynomial regression applied to the eye openness factors of the fourth and fifth eye openness factor levels.
- the method further comprising: verifying the presence of microsleep eye opening and closing representative curves by computing the Pearson coefficient of the eye closure representative curves with regard to the first and second eye openness factor levels and the eye opening representative curves with regard to the fourth and fifth eye factor levels. The subject is informed when the Pearson coefficients are greater than or equal to a predetermined threshold value.
- the method further comprising: a sub-process for detecting microsleep characteristic eye openness factor levels at an image sampling frequency of 20Hz.
- the sub-process comprises: verifying that a first level is detected by confirming the presence of a series six or more successive eye openness factors corresponding to an open eye.
- the method further comprising: verifying that a second level is detected by confirming the presence of a series four or more successive decreasing eye openness factors.
- the method further comprising: verifying that a third level is detected by confirming the presence of a series of a minimum of five and a maximum of one-hundred and twenty successive eye openness factors.
- the method further comprising: verifying that a fourth level is detected by confirming the presence of a series of a minimum of four successive eye openness factors.
- the method further comprising: verifying that a fifth level is detected by confirming the presence of a series of a minimum of six successive eye openness factors corresponding to the open eye.
- the method further comprising: alerting the subject to the presence of the microsleep event.
- a microsleep event detection device comprising:
- a facial image sampler for sampling facial images over time of a subject, the sampler having an infra red source for illuminating one or more eyes of the subject;
- microprocessor having electronically stored therein an electronically executable microsleep detection process, the microprocessor being connected to the sampler for receiving the sampled facial images, the images being electronically converted to graphical representations of eye openness factors; and a memory associated with the microprocessor, the memory having stored therein a plurality of reference eye closure patterns for electronically correlating the eye openness factors with the reference eye closure patterns.
- the device as described above further comprises an alert connected to the microprocessor for alerting the subject to the microsleep event.
- a method of alerting a vehicle operator to a microsleep event comprising:
- a method of correlating EEG and EOG microsleep patterns with eye closure patterns comprising:
- Figure 1 is a block diagram of a microsleep detection device according to an illustrative embodiment of the present invention, the device being used on a subject;
- Figure 2 is a flow diagram of a microsleep event detection process that may be used by the device of Figure 1 ;
- Figure 3A and 3B are schematic views of the fully open eye ( Figure 3A) and the fully closed eye ( Figure 3B) with their associated eye openness factor;
- Figure 4 is a series of schematic views of an example of the variation of the eye openness factor as a function of time for a blink cycle
- Figure 5 is an illustrative example of the fully closed eye (period L4 and L5), at the moment of a microsleep; and
- Figure 6 is a flow diagram of a microsleep characteristic eye openness factor levels detection sub-process that may be used with the microsleep event detection process of Figure 2 for an image sampling frequency of 20 Hz.
- the non-limitative illustrative embodiment of the present invention provides a method and device for the detection of microsleep events in a human subject based on the analysis of eye closure patterns of at least one eye, typically both eyes, which occur during microsleep events.
- a microsleep event detection device 100 which generally comprises facial image sampler such as a digital camera 102 with an associated infrared source 104, a microprocessor 106 with an associated memory 108 and either or both an alarm/display 110 and input/output interface 112.
- a method using the device 100 for detecting a microsleep event in a human subject comprises: determining a plurality of eye openness factors by measuring a plurality of distances between an upper eyelid and a lower eyelid of at least one eye, typically both eyes, over a time period; generating graphical representations of the eye openness factors; and correlating changes in the eye openness factors over the time period with a reference eye closure pattern indicative of the microsleep event.
- the digital camera 102 is aimed at the face of a subject 10 and illuminates his or her eyes 12 using the infrared source 104 in order to determine the eye openness factor, i.e. a value representative of the distance between the upper 14a and lower 14b eyelids.
- the images taken by the digital camera 102 are then processed by the processor 106 which executes a microsleep event detection process stored on its associated memory 108.
- the microsleep event detection device 100 may inform the user of a microsleep event by triggering an integrated alarm and/or display 110 or provide the information to a further process or device via the input/output interface 112. It is to be understood that other components may be added to the microsleep event detection device 100 such as, for example, a user interface and a wireless communication device.
- FIG. 2 there is shown a flow diagram of a microsleep event detection process 200 that may be electronically executed by the processor 106 of the microsleep event detection device 100 of Figure 1.
- the steps of the process 200 are indicated by blocks 202 to 212.
- the process 200 starts at block 202 by sampling an image of the face of a subject 10 using the digital camera 102.
- the digital camera 102 may sample images at a frequency between about 10 and 60Hz (i.e. sampling frequency).
- the process 200 identifies, in the sampled digital image, the eye 12 and eyelids 14a, 14b of the subject 10. This may be accomplished using a facial feature recognition algorithm executed by the processor 106. Then, the eye openness factor is computed.
- the eye openness factor may be expressed as ⁇ having a value between 1 , representing a fully open eye 12 (see Figure 3A), and 0, representing a fully closed eye 12 (see Figure 3B).
- the value of ⁇ may be computed, for example, by dividing the measured distance between the upper 14a and lower 14b eyelids positions in a Cartesian representation (X 1 Y) by a reference measure of the fully open eye D.
- the process verifies if the microsleep characteristic eye openness factor levels are present.
- FIG 4 there is shown an illustrative example of the variation of the eye openness factor as a function of time for a blink cycle.
- the blink cycle illustrated in Figure 4 for illustrative purpose only and that an actual cycle would comprise a number of sample times depending the sample frequency.
- these computed eye openness factors can be represented in a graph which may be generally characterized by five successive levels, L1 to L5.
- the process 200 detects all five levels, i.e. L1 to L5, it then proceeds to block 208. If not, it proceeds back to block 202 for the next image sample.
- the process computes the eye closure 21 or 26 and eye opening 25 or 27 representative curves.
- the eye closure representative curve 21 or 26 is computed using negative slope second order polynomial regression (parabolic curve), i.e.
- Y is the predicted outcome value for the polynomial model with regression coefficients di to 2 for each degree and Y intercept d1 ;
- the process 220 verifies if the microsleep eye opening and closing representative curves are present. This is accomplished by computing the Pearson coefficient, r:
- the microsleep event detection device 100 may inform the user 10 of the detection of a microsleep event state via the integrated alarm and/or display 110 or provide the information to a further process or device via the input/output interface 112 (see Figure 1) using, for instance, a wired or wireless telecommunication link such as, for example, Bluetooth, WiFi and the like.
- Pearson coefficient threshold is not meant to be restricted to 0.9 and may be adjusted to suit a desired confidence level. It may also vary depending on the resolution of the digital camera 102 (see Figure 1).
- the eye closure pattern is based on these particular observations closing, duration of the eyelid complete or partial closure and re-opening. More precisely, the eye closure pattern indicates a progressive decreasing followed by a baseline period where the eyelids are fully closed and then a reopening. If all the above occur, then a microsleep is detected.
- FIG. 6 there is shown a flow diagram a microsleep characteristic eye openness factor levels detection sub-process 300 that may be executed at block 206 of process 200 in order to detect the presence of the five microsleep characteristic eye openness factor levels, i.e. L1 to L5 (see Figure 5) for an image sampling frequency of 20 Hz.
- the steps of the sub-process 300 are indicated by blocks 301 to 305.
- the memory associated with the microprocessor as described above contains a plurality of reference eye closure patterns stored therein.
- the graphs as illustrated in Figure 5 are compared to the reference eye closure patterns. Once a match is found, a microsleep event is verified and the alarm is activated
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Physics & Mathematics (AREA)
- Veterinary Medicine (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Surgery (AREA)
- Biophysics (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Pathology (AREA)
- Ophthalmology & Optometry (AREA)
- Psychology (AREA)
- Child & Adolescent Psychology (AREA)
- Social Psychology (AREA)
- Psychiatry (AREA)
- Hospice & Palliative Care (AREA)
- Physiology (AREA)
- Educational Technology (AREA)
- Developmental Disabilities (AREA)
- Dentistry (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Anesthesiology (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Acoustics & Sound (AREA)
- Hematology (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Emergency Alarm Devices (AREA)
- Traffic Control Systems (AREA)
- Eye Examination Apparatus (AREA)
- Alarm Systems (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
Priority Applications (10)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP09753381.4A EP2285265B1 (en) | 2008-05-28 | 2009-05-27 | Method and device for the detection of microsleep events |
JP2011510790A JP5722767B2 (ja) | 2008-05-28 | 2009-05-27 | 微睡み警告方法、検出方法及び装置 |
RU2010146449/14A RU2540901C2 (ru) | 2008-05-28 | 2009-05-27 | Способ и устройство для выявления случаев микросна |
NZ589640A NZ589640A (en) | 2008-05-28 | 2009-05-27 | Method and device for the detection of microsleep events |
MX2010012924A MX2010012924A (es) | 2008-05-28 | 2009-05-27 | Metodo y dispositivo para la deteccion de eventos de micro-sueño. |
AU2009253692A AU2009253692B2 (en) | 2008-05-28 | 2009-05-27 | Method and device for the detection of microsleep events |
BRPI0912299A BRPI0912299B8 (pt) | 2008-05-28 | 2009-05-27 | método de alerta de um operador de veículo para um evento de microssono e dispositivo de detecção de evento de microssono |
CN200980125759.XA CN102098955B (zh) | 2008-05-28 | 2009-05-27 | 检测微入睡事件的方法和设备 |
ZA2010/08131A ZA201008131B (en) | 2008-05-28 | 2010-11-12 | Method and device for the detection of microsleep events |
HK11113038.4A HK1158481A1 (en) | 2008-05-28 | 2011-12-01 | Method and device for the detection of microsleep events |
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US7196608P | 2008-05-28 | 2008-05-28 | |
US61/071,966 | 2008-05-28 | ||
US12/340,017 US8570176B2 (en) | 2008-05-28 | 2008-12-19 | Method and device for the detection of microsleep events |
US12/340,017 | 2008-12-19 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2009143620A1 true WO2009143620A1 (en) | 2009-12-03 |
Family
ID=41360181
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/CA2009/000732 WO2009143620A1 (en) | 2008-05-28 | 2009-05-27 | Method and device for the detection of microsleep events |
Country Status (15)
Country | Link |
---|---|
US (1) | US8570176B2 (ja) |
EP (1) | EP2285265B1 (ja) |
JP (1) | JP5722767B2 (ja) |
KR (1) | KR101551262B1 (ja) |
CN (1) | CN102098955B (ja) |
AU (1) | AU2009253692B2 (ja) |
BR (1) | BRPI0912299B8 (ja) |
CA (1) | CA2667035C (ja) |
HK (1) | HK1158481A1 (ja) |
MX (1) | MX2010012924A (ja) |
MY (1) | MY153476A (ja) |
NZ (1) | NZ589640A (ja) |
RU (1) | RU2540901C2 (ja) |
WO (1) | WO2009143620A1 (ja) |
ZA (1) | ZA201008131B (ja) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104257392A (zh) * | 2014-09-26 | 2015-01-07 | 马天驰 | 一种疲劳驾驶检测提醒的方法及检测提醒装置 |
JP2015529512A (ja) * | 2012-08-20 | 2015-10-08 | オートリブ ディベロップメント エービー | 眠気を検知するための、まぶたの動きに関する処理 |
RU2644847C1 (ru) * | 2016-11-21 | 2018-02-14 | Федеральное государственное бюджетное образовательное учреждение высшего образования "Рязанский государственный медицинский университет имени академика И.П. Павлова" Министерства здравоохранения Российской Федерации | Способ прогнозирования результативности моделируемой когнитивной деятельности на основе комплекса физиологических показателей и логит регрессионного анализа |
Families Citing this family (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP5210773B2 (ja) * | 2008-09-16 | 2013-06-12 | トヨタ自動車株式会社 | 眠気判定装置及びプログラム |
KR101032726B1 (ko) * | 2009-09-01 | 2011-05-06 | 엘지이노텍 주식회사 | 눈 상태 검출방법 |
WO2012061871A1 (en) * | 2010-11-08 | 2012-05-18 | Optalert Australia Pty Ltd | Fitness for work test |
EP2497670B1 (en) * | 2011-03-11 | 2015-07-01 | Johnson Controls Automotive Electronics GmbH | Method and apparatus for monitoring the alertness of the driver of a vehicle |
KR101526672B1 (ko) * | 2013-07-24 | 2015-06-05 | 현대자동차주식회사 | 졸음 상태 판별 장치 및 방법 |
JP6462209B2 (ja) * | 2013-12-03 | 2019-01-30 | 浜松ホトニクス株式会社 | 計測装置及び計測方法 |
DE102015200697A1 (de) * | 2015-01-19 | 2016-07-21 | Robert Bosch Gmbh | Verfahren und Vorrichtung zum Erkennen von Sekundenschlaf eines Fahrers eines Fahrzeugs |
JP6399311B2 (ja) * | 2015-05-07 | 2018-10-03 | スズキ株式会社 | 居眠り検知装置 |
DE102015218306A1 (de) * | 2015-09-23 | 2017-03-23 | Robert Bosch Gmbh | Verfahren und Vorrichtung zum Ermitteln eines Schläfrigkeitszustands eines Fahrers |
CN105249961B (zh) * | 2015-11-02 | 2017-11-24 | 东南大学 | 基于蓝牙脑电耳机的实时驾驶疲劳检测系统及检测方法 |
DE102016205311A1 (de) * | 2016-03-31 | 2017-10-05 | Robert Bosch Gmbh | Verfahren zum Bereitstellen eines Warnsignals und Verfahren zum Generieren eines Vorsekundenschlafmusters zum Erkennen eines drohenden Sekundenschlafs für ein Fahrzeug |
WO2017204406A1 (ko) * | 2016-05-25 | 2017-11-30 | 엠텍비젼 주식회사 | 운전자의 눈 위치 검출 장치와 방법, 및 롤링 셔터 구동 방식의 이미지 센서를 구비한 촬상 장치와 그 조명 제어 방법 |
CN109472224A (zh) * | 2018-10-26 | 2019-03-15 | 蓝色传感(北京)科技有限公司 | 基于eeg与eog融合的疲劳驾驶检测系统 |
KR102161908B1 (ko) | 2019-01-25 | 2020-10-05 | 주식회사 에프에스솔루션 | 운전자 상태 모니터링 방법 및 장치 |
US11786694B2 (en) | 2019-05-24 | 2023-10-17 | NeuroLight, Inc. | Device, method, and app for facilitating sleep |
CN112016347B (zh) * | 2019-05-29 | 2022-06-24 | 魔门塔(苏州)科技有限公司 | 一种基于眼睑特征信息的人员状态检测方法及装置 |
CN114283559B (zh) * | 2022-03-04 | 2022-05-17 | 西南交通大学 | 一种驾驶员疲劳预警方法、装置、设备及存储介质 |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US3863243A (en) * | 1972-01-19 | 1975-01-28 | Max Skolnick | Sleep inhibiting alarm |
US5570698A (en) * | 1995-06-02 | 1996-11-05 | Siemens Corporate Research, Inc. | System for monitoring eyes for detecting sleep behavior |
US5573006A (en) | 1994-03-10 | 1996-11-12 | Mitsubishi Denki Kabushiki Kaisha | Bodily state detection apparatus |
US5689241A (en) * | 1995-04-24 | 1997-11-18 | Clarke, Sr.; James Russell | Sleep detection and driver alert apparatus |
US6087941A (en) * | 1998-09-01 | 2000-07-11 | Ferraz; Mark | Warning device for alerting a person falling asleep |
US6511424B1 (en) * | 1997-01-11 | 2003-01-28 | Circadian Technologies, Inc. | Method of and apparatus for evaluation and mitigation of microsleep events |
WO2003012758A1 (en) * | 2001-07-30 | 2003-02-13 | Sankaran Manoj | A device for detecting sleep |
US6717518B1 (en) * | 1998-01-15 | 2004-04-06 | Holding B.E.V.S.A. | Method and apparatus for detection of drowsiness |
US6927694B1 (en) * | 2001-08-20 | 2005-08-09 | Research Foundation Of The University Of Central Florida | Algorithm for monitoring head/eye motion for driver alertness with one camera |
US7071831B2 (en) | 2001-11-08 | 2006-07-04 | Sleep Diagnostics Pty., Ltd. | Alertness monitor |
CA2613999A1 (en) * | 2005-08-11 | 2007-02-15 | Sleep Diagnostics Pty Ltd | Alertness sensing spectacles |
US20070040691A1 (en) * | 2005-08-17 | 2007-02-22 | General Electric Company | System, method and computer instructions for assessing alertness of an operator of an image review system |
Family Cites Families (27)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5469143A (en) | 1995-01-10 | 1995-11-21 | Cooper; David E. | Sleep awakening device for drivers of motor vehicles |
JP3350296B2 (ja) | 1995-07-28 | 2002-11-25 | 三菱電機株式会社 | 顔画像処理装置 |
JP3426060B2 (ja) | 1995-07-28 | 2003-07-14 | 三菱電機株式会社 | 顔画像処理装置 |
US5729619A (en) | 1995-08-08 | 1998-03-17 | Northrop Grumman Corporation | Operator identity, intoxication and drowsiness monitoring system and method |
JP3183161B2 (ja) | 1996-04-12 | 2001-07-03 | 三菱自動車工業株式会社 | 覚醒度推定装置 |
US6542081B2 (en) | 1996-08-19 | 2003-04-01 | William C. Torch | System and method for monitoring eye movement |
DE19803158C1 (de) | 1998-01-28 | 1999-05-06 | Daimler Chrysler Ag | Vorrichtung zur Vigilanzzustandsbestimmung |
US5990795A (en) | 1998-02-06 | 1999-11-23 | Miller; Bernard J. | Sleep warning device for mobile vehicles |
US6154559A (en) | 1998-10-01 | 2000-11-28 | Mitsubishi Electric Information Technology Center America, Inc. (Ita) | System for classifying an individual's gaze direction |
US6130617A (en) | 1999-06-09 | 2000-10-10 | Hyundai Motor Company | Driver's eye detection method of drowsy driving warning system |
US6243015B1 (en) | 1999-06-17 | 2001-06-05 | Hyundai Motor Company | Driver's drowsiness detection method of drowsy driving warning system |
US6218947B1 (en) | 2000-05-23 | 2001-04-17 | Ronald L. Sutherland | Driver sleep alarm |
US6822573B2 (en) | 2002-01-18 | 2004-11-23 | Intelligent Mechatronic Systems Inc. | Drowsiness detection system |
GB0203035D0 (en) | 2002-02-08 | 2002-03-27 | Univ Bristol | A method of and an apparatus for measuring a person's ability to perform a motor control task |
RU2197895C1 (ru) * | 2002-02-27 | 2003-02-10 | Общество с ограниченной ответственностью "ТелекомЭксперт" | Способ контроля состояния человека и устройство для его осуществления |
US20040151347A1 (en) | 2002-07-19 | 2004-08-05 | Helena Wisniewski | Face recognition system and method therefor |
US7202792B2 (en) | 2002-11-11 | 2007-04-10 | Delphi Technologies, Inc. | Drowsiness detection system and method |
JP2004314750A (ja) | 2003-04-15 | 2004-11-11 | Denso Corp | 車両機器操作制御装置 |
CN1225375C (zh) * | 2003-07-02 | 2005-11-02 | 北京交通大学 | 基于多特征融合的困倦驾驶检测方法 |
US7435227B2 (en) | 2004-09-13 | 2008-10-14 | Biocognisafe (Bcs) Technologies | Method and apparatus for generating an indication of a level of vigilance of an individual |
CN1613425A (zh) * | 2004-09-15 | 2005-05-11 | 南京大学 | 司机疲劳预警生物识别的方法和系统 |
MX2007010513A (es) | 2005-03-04 | 2008-01-16 | Sleep Diagnostics Pty Ltd | Medicion de estado de alerta. |
JP4864541B2 (ja) * | 2006-05-23 | 2012-02-01 | 旭化成株式会社 | まばたきデータ種別装置、覚醒状態判定装置及び覚醒状態判断装置 |
JP4677963B2 (ja) * | 2006-09-11 | 2011-04-27 | トヨタ自動車株式会社 | 居眠り検知装置、居眠り検知方法 |
JP4967559B2 (ja) * | 2006-09-19 | 2012-07-04 | 株式会社豊田中央研究所 | 居眠り運転防止装置及びプログラム |
JP4331197B2 (ja) * | 2006-11-06 | 2009-09-16 | トヨタ自動車株式会社 | 眼開度検出装置及び方法 |
CN100462047C (zh) * | 2007-03-21 | 2009-02-18 | 汤一平 | 基于全方位计算机视觉的安全驾驶辅助装置 |
-
2008
- 2008-12-19 US US12/340,017 patent/US8570176B2/en active Active
-
2009
- 2009-05-27 BR BRPI0912299A patent/BRPI0912299B8/pt active IP Right Grant
- 2009-05-27 NZ NZ589640A patent/NZ589640A/xx unknown
- 2009-05-27 MY MYPI2010005533A patent/MY153476A/en unknown
- 2009-05-27 AU AU2009253692A patent/AU2009253692B2/en active Active
- 2009-05-27 JP JP2011510790A patent/JP5722767B2/ja not_active Expired - Fee Related
- 2009-05-27 CA CA2667035A patent/CA2667035C/en active Active
- 2009-05-27 KR KR1020107028212A patent/KR101551262B1/ko active IP Right Grant
- 2009-05-27 CN CN200980125759.XA patent/CN102098955B/zh active Active
- 2009-05-27 WO PCT/CA2009/000732 patent/WO2009143620A1/en active Application Filing
- 2009-05-27 MX MX2010012924A patent/MX2010012924A/es active IP Right Grant
- 2009-05-27 EP EP09753381.4A patent/EP2285265B1/en active Active
- 2009-05-27 RU RU2010146449/14A patent/RU2540901C2/ru active
-
2010
- 2010-11-12 ZA ZA2010/08131A patent/ZA201008131B/en unknown
-
2011
- 2011-12-01 HK HK11113038.4A patent/HK1158481A1/xx unknown
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US3863243A (en) * | 1972-01-19 | 1975-01-28 | Max Skolnick | Sleep inhibiting alarm |
US5573006A (en) | 1994-03-10 | 1996-11-12 | Mitsubishi Denki Kabushiki Kaisha | Bodily state detection apparatus |
US5689241A (en) * | 1995-04-24 | 1997-11-18 | Clarke, Sr.; James Russell | Sleep detection and driver alert apparatus |
US5570698A (en) * | 1995-06-02 | 1996-11-05 | Siemens Corporate Research, Inc. | System for monitoring eyes for detecting sleep behavior |
US6511424B1 (en) * | 1997-01-11 | 2003-01-28 | Circadian Technologies, Inc. | Method of and apparatus for evaluation and mitigation of microsleep events |
US6717518B1 (en) * | 1998-01-15 | 2004-04-06 | Holding B.E.V.S.A. | Method and apparatus for detection of drowsiness |
US6087941A (en) * | 1998-09-01 | 2000-07-11 | Ferraz; Mark | Warning device for alerting a person falling asleep |
WO2003012758A1 (en) * | 2001-07-30 | 2003-02-13 | Sankaran Manoj | A device for detecting sleep |
US6927694B1 (en) * | 2001-08-20 | 2005-08-09 | Research Foundation Of The University Of Central Florida | Algorithm for monitoring head/eye motion for driver alertness with one camera |
US7071831B2 (en) | 2001-11-08 | 2006-07-04 | Sleep Diagnostics Pty., Ltd. | Alertness monitor |
CA2613999A1 (en) * | 2005-08-11 | 2007-02-15 | Sleep Diagnostics Pty Ltd | Alertness sensing spectacles |
US20070040691A1 (en) * | 2005-08-17 | 2007-02-22 | General Electric Company | System, method and computer instructions for assessing alertness of an operator of an image review system |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2015529512A (ja) * | 2012-08-20 | 2015-10-08 | オートリブ ディベロップメント エービー | 眠気を検知するための、まぶたの動きに関する処理 |
CN104257392A (zh) * | 2014-09-26 | 2015-01-07 | 马天驰 | 一种疲劳驾驶检测提醒的方法及检测提醒装置 |
RU2644847C1 (ru) * | 2016-11-21 | 2018-02-14 | Федеральное государственное бюджетное образовательное учреждение высшего образования "Рязанский государственный медицинский университет имени академика И.П. Павлова" Министерства здравоохранения Российской Федерации | Способ прогнозирования результативности моделируемой когнитивной деятельности на основе комплекса физиологических показателей и логит регрессионного анализа |
Also Published As
Publication number | Publication date |
---|---|
MY153476A (en) | 2015-02-13 |
JP5722767B2 (ja) | 2015-05-27 |
HK1158481A1 (en) | 2012-07-20 |
BRPI0912299B8 (pt) | 2021-06-22 |
RU2540901C2 (ru) | 2015-02-10 |
AU2009253692A1 (en) | 2009-12-03 |
EP2285265B1 (en) | 2019-08-07 |
BRPI0912299B1 (pt) | 2021-02-02 |
EP2285265A1 (en) | 2011-02-23 |
EP2285265A4 (en) | 2013-11-13 |
CA2667035A1 (en) | 2009-11-28 |
CA2667035C (en) | 2014-10-14 |
JP2011523867A (ja) | 2011-08-25 |
KR101551262B1 (ko) | 2015-09-08 |
ZA201008131B (en) | 2012-02-29 |
NZ589640A (en) | 2013-08-30 |
MX2010012924A (es) | 2011-05-02 |
KR20110017883A (ko) | 2011-02-22 |
US20090299209A1 (en) | 2009-12-03 |
AU2009253692B2 (en) | 2014-11-13 |
CN102098955A (zh) | 2011-06-15 |
RU2010146449A (ru) | 2012-07-20 |
US8570176B2 (en) | 2013-10-29 |
BRPI0912299A2 (pt) | 2015-10-20 |
CN102098955B (zh) | 2015-07-15 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
AU2009253692B2 (en) | Method and device for the detection of microsleep events | |
EP2281506B1 (en) | Method and system for determining an individual's state of attention | |
JP4638040B2 (ja) | 人の認知能力を予測する方法及び装置 | |
US7766827B2 (en) | Method and system for predicting human cognitive performance | |
US6497658B2 (en) | Alarm upon detection of impending sleep state | |
CN102481121B (zh) | 意识监测 | |
KR101970481B1 (ko) | 뇌졸중 모니터링 시스템 | |
WO2007149553A2 (en) | Alertness/drowsiness and cognitive capacity index | |
KR20070114731A (ko) | 경계 상태 측정 방법 | |
Kumari et al. | A survey on drowsy driver detection system | |
JP3480483B2 (ja) | 覚醒度推定装置 | |
JP2005312868A (ja) | 瞬きを用いた覚醒度計測法 | |
Laouz et al. | Literature review on driver’s drowsiness and fatigue detection | |
Sommer et al. | A measure of strong driver fatigue | |
WO2020082123A1 (en) | Analysis of neurological conditions, including prediction of future seizure events and/or detection of current seizure events, based on analysis of blepharometric data | |
Antunes et al. | An intelligent system to detect drowsiness at the wheel | |
Chatterjee et al. | Smartphone-based drowsiness detection system for drivers in real-time | |
Deeb et al. | Method of detection of early falling asleep while driving using EOG analysis | |
KR102377485B1 (ko) | 작업자의 스트레스 상태 인지 장치 및 방법, 이를 포함하는 모니터링 시스템 | |
John et al. | Driver Drowsiness Detection From Multiple Facial Features Using Mobile Devices | |
Balasubrahmanyan et al. | Quantification of Alertness and Evaluation Method for Vision Based Driver Drowsiness and Alertness Warning System | |
Kolus | A systematic review on driver drowsiness detection using eye activity measures | |
Funke et al. | Monitoring Task Fatigue in Contemporary and Future Vehicles: A Review | |
Abirami et al. | An In-Depth Exploration of Advanced Driver Drowsiness Detection Systems for Enhanced Road Safety | |
Priya et al. | Machine Learning-Based System for Detecting and Tracking Driver Drowsiness |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
WWE | Wipo information: entry into national phase |
Ref document number: 200980125759.X Country of ref document: CN |
|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 09753381 Country of ref document: EP Kind code of ref document: A1 |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2009253692 Country of ref document: AU |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2009753381 Country of ref document: EP |
|
WWE | Wipo information: entry into national phase |
Ref document number: MX/A/2010/012924 Country of ref document: MX |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2011510790 Country of ref document: JP |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
WWE | Wipo information: entry into national phase |
Ref document number: 589640 Country of ref document: NZ |
|
WWE | Wipo information: entry into national phase |
Ref document number: 7853/CHENP/2010 Country of ref document: IN |
|
ENP | Entry into the national phase |
Ref document number: 2009253692 Country of ref document: AU Date of ref document: 20090527 Kind code of ref document: A |
|
ENP | Entry into the national phase |
Ref document number: 20107028212 Country of ref document: KR Kind code of ref document: A |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2010146449 Country of ref document: RU |
|
ENP | Entry into the national phase |
Ref document number: PI0912299 Country of ref document: BR Kind code of ref document: A2 Effective date: 20101129 |